Search results for "Example-based machine translation"

showing 3 items of 3 documents

Why Translation Is Difficult

2017

The paper develops a definition of translation literality that is based on the syntactic and semantic similarity of the source and the target texts. We provide theoretical and empirical evidence that absolute literal translations are easy to produce. Based on a multilingual corpus of alternative translations we investigate the effects of cross-lingual syntactic and semantic distance on translation production times and find that non-literality makes from-scratch translation and post-editing difficult. We show that statistical machine translation systems encounter even more difficulties with non-literality.

Linguistics and LanguageTranslationStatistical machine translationMachine translationComputer science02 engineering and technologycomputer.software_genreMachine translation software usability050105 experimental psychologyLanguage and LinguisticsExample-based machine translationRule-based machine translation0202 electrical engineering electronic engineering information engineeringPost-editing0501 psychology and cognitive sciencesDynamic and formal equivalencebusiness.industryCommunication05 social sciencesTransfer-based machine translationLinguisticsNon-literalityComputer-assisted translation020201 artificial intelligence & image processingSynchronous context-free grammarArtificial intelligencebusinesscomputerNatural language processingHermes
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K-Translate - Interactive Multi-system Machine Translation

2016

The tool described in this article has been designed to help machine translation (MT) researchers to combine and evaluate various MT engine outputs through a web-based graphical user interface using syntactic analysis and language modelling. The tool supports user provided translations as well as translations from popular online MT system application program interfaces (APIs). The selection of the best translation hypothesis is done by calculating the perplexity for each hypothesis. The evaluation panel provides sentence tree graphs and chunk statistics. The result is a syntax-based multi-system translation tool that shows an improvement of BLEU scores compared to the best individual baseli…

PerplexityParsingMachine translationComputer sciencebusiness.industryHybrid machine translationTransfer-based machine translationcomputer.software_genreExample-based machine translationComputer-assisted translationArtificial intelligenceComputational linguisticsbusinesscomputerNatural language processing
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Revisiting corpus creation and analysis tools for translation tasks

2016

Many translation scholars have proposed the use of corpora to allow professional translators to produce high quality texts which read like originals. Yet, the diffusion of this methodology has been modest, one reason being the fact that software for corpora analyses have been developed with the linguist in mind, which means that they are generally complex and cumbersome, offering many advanced features, but lacking the level of usability and the specific features that meet translators’ needs. To overcome this shortcoming, we have developed TranslatorBank, a free corpus creation and analysis tool designed for translation tasks. TranslatorBank supports the creation of specialized monolingual …

Text corpusTranslationProfessionalizationTraducciónLinguistics and LanguageLiterature and Literary TheoryComputer sciencetranslationCorpus toolsMonolingual corpuscomputer.software_genreProfesionalizaciónLanguage and LinguisticsTerminologyDomain (software engineering)Example-based machine translationCorpus linguisticsmonolingual corpusprofessionalizationcorpus toolsConcordancerCorpus monolingüeTerminology extractionbusiness.industrylcsh:Translating and interpretingUsabilitylcsh:P306-310Herramientas de corpusArtificial intelligencebusinesscomputerNatural language processingCadernos de Tradução
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